Results 181 to 190 of about 6,060,025 (286)

Boosting Conversion Efficiency in Zn3P2/InP Solar Cells Via Nanoscale Junction Engineering

open access: yesAdvanced Functional Materials, EarlyView.
This study demonstrates the efficacy of selective area epitaxy (SAE) in enhancing the conversion efficiency of a Zn3P2${\rm Zn}_3{\rm P}_2$/InP heterojunction solar cell. The impact of the SAE pattern dimensions on the performance parameters is investigated. Small size opening limits Jsc because of current crowding whereas large size opening limits Voc
Raphael Lemerle   +14 more
wiley   +1 more source

Embedded Direct Ink Writing of Thermoset and Elastomeric Polymers via Frontal Polymerization

open access: yesAdvanced Functional Materials, EarlyView.
Embedded frontal polymerization direct ink writing (FP‐DIW) combines frontal ring‐opening metathesis polymerization with embedded 3D printing to decouple deposition from curing. A yield‐stress support bath stabilizes low‐viscosity inks, while on‐demand thermal initiation enables controlled front propagation. This approach expands the accessible feature
Mohammad Tanver Hossain   +12 more
wiley   +1 more source

Association between NT-proBNP and false-positive Coombs test in patients with heart failure and elevated NT-proBNP. [PDF]

open access: yesVox Sang
Lamilla Álvarez A   +12 more
europepmc   +1 more source

Charting Morphotoxicity With Complementary Embryo Models

open access: yesAdvanced Healthcare Materials, EarlyView.
Three human embryo models of the peri‐implantation stages are exposed to a library of compounds. The (toxic) effects of the compounds are analyzed through automated image analysis pipelines. By evaluating the differential responses of the embryo models, this study underscores the importance of testing complementary embryo models to achieve robust and ...
Dorian G. Luijkx   +9 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

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